K9s vs Kubernetes

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K9s

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Kubernetes

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K9s vs Kubernetes: What are the differences?

K9s and Kubernetes are both tools used in the management of containerized applications, but they have key differences that set them apart.

  1. Compatibility and Scope: K9s is a graphical user interface (GUI) tool designed specifically for Kubernetes, allowing users to interact with their clusters through an intuitive visual interface. On the other hand, Kubernetes is an open-source container orchestration platform that enables the deployment, scaling, and management of containerized applications.

  2. Functionality: K9s provides various features to optimize the Kubernetes experience, including real-time monitoring, logs, pod management, resource utilization analysis, and terminal-like interactivity. In contrast, Kubernetes offers a comprehensive set of tools and APIs for cluster management, workload deployment, and scaling operations, enabling users to manage and coordinate containerized applications at scale.

  3. User Interface: K9s offers a graphical user interface with an intuitive layout and visual representation of Kubernetes resources, making it easier for users to navigate and interact with their clusters. Kubernetes, on the other hand, primarily utilizes a command-line interface (CLI) with text-based commands for cluster management, allowing for more flexibility and automation through scripts and configuration files.

  4. Ease of Use: K9s simplifies the management of Kubernetes by providing a more user-friendly and accessible interface, reducing the learning curve and making it easier for beginners to interact with their clusters. Kubernetes, although more complex, offers greater control and flexibility for advanced users, allowing them to carry out highly customized operations and configurations.

  5. Integration and Extensibility: K9s supports integration with various Kubernetes plugins, allowing users to extend its functionality and customize their experience according to their specific needs. Kubernetes, being a highly extensible platform itself, provides an extensive ecosystem of plugins, extensions, and integrations, enabling users to enhance and extend its capabilities to fit their requirements.

  6. Deployment and Scalability: K9s primarily focuses on providing a user-friendly interface for managing existing Kubernetes clusters. It does not directly deal with the deployment or scaling of clusters. On the other hand, Kubernetes provides a complete solution for managing the deployment, scaling, and orchestration of containerized applications across clusters, allowing for horizontal scalability and automated scaling based on resource utilization.

In summary, K9s is a user-friendly GUI tool that enhances the Kubernetes experience by providing visual representation and simplified management, while Kubernetes is a comprehensive platform for container orchestration, offering a wide range of tools and APIs for managing containerized applications at scale.

Decisions about K9s and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.9M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Pros of K9s
Pros of Kubernetes
  • 2
    Nice UI and fast way to manage my kubernetes clusters
  • 164
    Leading docker container management solution
  • 128
    Simple and powerful
  • 106
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Cheap
  • 8
    Simple
  • 6
    Self-healing
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Cloud Agnostic
  • 3
    Captain of Container Ship
  • 3
    A self healing environment with rich metadata
  • 3
    Runs on azure
  • 3
    Backed by Red Hat
  • 3
    Custom and extensibility
  • 2
    Sfg
  • 2
    Gke
  • 2
    Everything of CaaS
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable

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Cons of K9s
Cons of Kubernetes
    Be the first to leave a con
    • 16
      Steep learning curve
    • 15
      Poor workflow for development
    • 8
      Orchestrates only infrastructure
    • 4
      High resource requirements for on-prem clusters
    • 2
      Too heavy for simple systems
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

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    - No public GitHub repository available -

    What is K9s?

    K9s provides a curses based terminal UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with observed resources.

    What is Kubernetes?

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

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    What tools integrate with K9s?
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    What are some alternatives to K9s and Kubernetes?
    Octant
    A tool for developers to understand how applications run on a Kubernetes cluster. It aims to be part of the developer's toolkit for gaining insight and approaching complexity found in Kubernetes.
    Docker Compose
    With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.
    Rancher
    Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.
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    Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.
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    Argo is an open source container-native workflow engine for getting work done on Kubernetes. Argo is implemented as a Kubernetes CRD (Custom Resource Definition).
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